Triangular Matrix Inversion on Heterogeneous Multicore Systems

Ries Florian; De Marco Tommaso; Guerrieri Roberto

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Triangular Matrix Inversion on Heterogeneous Multicore Systems

机译：异构多核系统上的三角矩阵求逆

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摘要

Dense matrix inversion is a basic procedure in many linear algebra algorithms. Any factorization-based dense matrix inversion algorithm involves the inversion of one or two triangular matrices. In this work, we present an improved implementation of a parallel triangular matrix inversion for heterogeneous multicore CPU/dual-GPU systems.

机译：密集矩阵求逆是许多线性代数算法中的基本过程。任何基于因子分解的密集矩阵求逆算法都涉及一个或两个三角矩阵的求逆。在这项工作中，我们为异构多核CPU /双GPU系统提供了并行三角矩阵求逆的改进实现。

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《Parallel and Distributed Systems, IEEE Transactions on》 |2012年第1期|p.177-184|共8页
作者
Ries Florian; De Marco Tommaso; Guerrieri Roberto;
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作者单位

Advanced Research Center on Electronic Systems for Information and Communication Technologies, E. De Castro (ARCES), Bologna;

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原文格式 PDF
正文语种 eng
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关键词
Matrix inversion; parallel processing.;

机译：矩阵求逆;并行处理。;

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3. DESIGN, ANALYSIS AND PERFORMANCE EVALUATION OF PARALLEL ALGORITHMS FOR SOLVING TRIANGULAR LINEAR SYSTEMS ON MULTICORE PLATFORMS [J] . Belmabrouk Mounira, Marrakchi Mounir RAIRO operations research . 2021,第2期

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4. A Fast Parallel Matrix Inversion Algorithm based on Heterogeneous Multicore Architectures [C] . Denggao Yu, Shiwen He, Yongming Huang, IEEE Global Conference on Signal and Information Processing . 2015

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8. Area-Time Optimal VLSI Networks for Matrix Multiplication and Inversion of Triangular Matrices [R] . Preparata, F. P., Vuillemin, J. E. 1980

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Triangular Matrix Inversion on Heterogeneous Multicore Systems

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